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Data-driven retrieval of primary plane-wave responses

Meles, G.A. (author), Zhang, L. (author), Thorbecke, J.W. (author), Wapenaar, C.P.A. (author), Slob, E.C. (author)

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abstract 2020

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On the benefits of auxiliary transmission data for Marchenko-based Green’s function retrieval

van der Neut, J.R. (author), Brackenhoff, J. (author), Meles, G. (author), Zhang, L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author)

Green’s functions in an unknown medium can be retrieved from single-sided reflection data by solving a multidimensional Marchenko equation. This methodology requires knowledge of the direct wavefield throughout the medium, which should include forward-scattered waveforms. In practice, the direct field is often computed in a smooth background...

conference paper 2021

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Elimination of multiples from acoustic reflection data

Slob, E.C. (author), Zhang, L. (author)

Elimination of multiples from acoustic reflection data is important to reduce the effect of their presence in velocity model building and subsequent imaging. Many processing schemes assume only primary reflection events are present in the data. Free-surface multiple elimination is an established technology, but internal multiple elimination is...

conference paper 2019

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Marchenko Multiple Elimination in a Resonant Pinch-Out Model

Slob, E.C. (author), Zhang, L. (author)

The ability to separate primary reflections from multiples is important for making subsurface images. Many existing methods need some form of model information and adaptive subtraction. Marchenko methods have been modified to operate at the acquisition surface. The associated filters can be computed from the reflection response without any model...

conference paper 2020

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Marchenko Multiple Elimination

Slob, E.C. (author), Zhang, L. (author)

Marchenko methods compute a focusing function for a receiver at the acquisition surface and a virtual source in the subsurface. Computing the focusing function requires subsurface information. The method has been modified to operate at the acquisition surface. The focusing function becomes a fundamental wave field as known since many decades....

conference paper 2020

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Obtaining local reflectivity at two-way travel time by filtering acoustic reflection data

Slob, E.C. (author), Zhang, L. (author), Wapenaar, C.P.A. (author)

A modified implementation of Marchenko redatuming leads to a filter that removes internal multiples from reflection data. It produces local reflectivity at two-way travel time. The method creates new primary reflections resulting from emitted events that eliminate internal multiples. We call these non-physical<br/>primaries and their presence is...

conference paper 2017

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An overview of Marchenko methods

Wapenaar, C.P.A. (author), Staring, M. (author), Brackenhoff, J.A. (author), Zhang, L. (author), Thorbecke, J.W. (author), Slob, E.C. (author)

Since the introduction of the Marchenko method in geophysics, many variants have been developed. Using a compact unified notation, we review redatuming by multidimensional deconvolution and by double focusing, virtual seismology, double dereverberation and transmission-compensated Marchenko multiple elimination, and discuss the underlying...

conference paper 2020

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Marchenko Multiple Elimination: From Point-Source to Plane-Wave Datasets Applications

Meles, G.A. (author), Zhang, L. (author), Thorbecke, J.W. (author), Wapenaar, C.P.A. (author), Slob, E.C. (author)

Seismic images provided by reverse time migration can be contaminated by artefacts associated with the migration of multiples.<br/><br/>Multiples can corrupt seismic images, producing both false positives, i.e. by focusing energy at unphysical interfaces, and false negatives, i.e. by destructively interfering with primaries. Multiple-related...

conference paper 2020

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Electromagnetic Marchenko imaging in 1D for dissipative media

Zhang, L. (author), Slob, E.C. (author), van der Neut, J.R. (author), Staring, M. (author), Wapenaar, C.P.A. (author)

We present a one-dimensional lossless scheme to compute an image of a dissipative medium from two single-sided reflection responses. One reflection response is measured at or above the top reflector of a dissipative medium and the other reflection response is computed as if measured at or above the top reflector of a medium with negative...

conference paper 2016

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Multiple elimination and transmission compensation in primary reflections in data domain

Zhang, L. (author), Slob, E.C. (author)

We retrieve transmission compensated subsurface primary reflections from the reflection response measured at the surface. This is achieved by filtering the reflection response. The application of this scheme does not require model information. In this process, the reflection response is convolved and correlated with itself. The result after each...

conference paper 2018

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Electromagnetic Marchenko scheme based internal multiple elimination for lossless media

Zhang, L. (author), Slob, E.C. (author)

Iterative substitution of the Marchenko equation has been introduced recently to integrate internal multiple reflection in the seismic and electromagnetic imaging process. In the so-called Marchenko imaging, solving the Marchenko equation at each imaging point is required to meet this objective. It makes the scheme seriously expensive....

conference paper 2017

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A comparison of data-driven internal multiple elimination strategies and their consequences for imaging

Zhang, L. (author), Slob, E.C. (author)

We compare two data-driven internal multiple reflection elimination schemes derived from regular Marchenko equations and Inverse Scattering Series (ISS). The scheme derived from regular Marchenko equations creates a new data set without internal multiple reflections. The scheme derived from ISS is equal to the result after the second...

conference paper 2019

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Artefact-Free Imaging by a Revised Marchenko Scheme

Zhang, L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author), van der Neut, J.R. (author)

A revised Marchenko scheme that avoids the need to compute the Green’s function is presented for artefact-free image of the subsurface with single-sided reflection response as input. The initial downgoing Green’s function which can be modelled from a macro model is needed for solving the revised Marchenko equations instead of its inverse. The...

conference paper 2018

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A field data example of Marchenko multiple elimination

Zhang, L. (author), Slob, E.C. (author)

Multiple reflections are often considered as noise in seismic data. Dealing with them has attracted much attention from industry and academia. A variety of schemes have been developed for removal of free-surface multiple reflections and success has been achieved in numerical and field datasets. However, less attention has been directed toward...

conference paper 2019

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On the retrieval of forward-scattered waveforms from acoustic reflection and transmission data with the Marchenko equation

van der Neut, J.R. (author), Brackenhoff, J.A. (author), Meles, G.A. (author), Zhang, L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author)

A Green's function in an acoustic medium can be retrieved from reflection data by solving a multidimensional Marchenko equation. This procedure requires a priori knowledge of the initial focusing function, which can be interpreted as the inverse of a transmitted wavefield as it would propagate through the medium, excluding (multiply)...

journal article 2022

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Marchenko multiple elimination and full-wavefield migration in a resonant pinch-out model

Slob, E.C. (author), Zhang, L. (author), Verschuur, D.J. (author)

Marchenko multiple elimination schemes are able to attenuate all internal multiple reflections in acoustic reflection data. These can be implemented with and without compensation for two-way transmission effects in the resulting primary reflection data set. The methods are fully automated and run without human intervention, but they require the...

journal article 2021

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Single- and Double-Sided Marchenko Imaging Conditions in Acoustic Media

van der Neut, J.R. (author), Brackenhoff, Joeri (author), Staring, Myrna (author), Zhang, L. (author), de Ridder, S.A.L. (author), Slob, E.C. (author), Wapenaar, C.P.A. (author)

journal article 2018

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Unified elimination of 1D acoustic multiple reflection

Slob, E.C. (author), Zhang, L. (author)

Migration, velocity and amplitude analysis are the employed processing steps to find the desired subsurface information from seismic reflection data. The presence of free-surface and internal multiples can mask the primary reflections for which many processing methods are built. The ability to separate primary from multiple reflections is...

journal article 2021

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Implementation of the Marchenko multiple elimination algorithm

Thorbecke, J.W. (author), Zhang, L. (author), Wapenaar, C.P.A. (author), Slob, E.C. (author)

The Marchenko multiple elimination (MME) and transmission compensation schemes retrieve primary reflections in the two-way traveltime domain without model information or using adaptive subtraction. Both schemes are derived from projected Marchenko equations and are similar to each other, but they use different time-domain truncation operators...

journal article 2021

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Transmission compensated primary reflection retrieval in the data domain and consequences for imaging

Zhang, L. (author), Thorbecke, J.W. (author), Wapenaar, C.P.A. (author), Slob, E.C. (author)

We have developed a scheme that retrieves primary reflections in the two-way traveltime domain by filtering the data. The data have their own filter that removes internal multiple reflections, whereas the amplitudes of the retrieved primary reflections are compensated for two-way transmission losses. Application of the filter does not require...

journal article 2019